Software Engineer

Software Engineer

Employer: META PLATFORMS, INC. (f/k/a Facebook, Inc.)

Job Location: Bellevue, Washington

Job Type: Full-time, 9am -- 6pm, 40 hours a week, Monday -- Friday

Salary: $203,350.00/year to $240,240.00/year + bonus + equity + benefits. Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus or equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits.

Duties:

• Design and develop cutting-edge Generative AI-powered tools for advertisers, leveraging advanced machine learning models, Large Language Models (LLMs), and econometric techniques to drive business growth and innovation.
• Collaborate with cross-functional teams to integrate Generative AI solutions into existing advertising platforms, ensuring seamless user experiences and optimal performance.
• Develop and maintain reliable, efficient, and scalable backend computing architectures and models to power Generative AI tools, utilizing expertise in system design, data analysis, and causal inference.
• Ensure the security, integrity, and compliance of all systems and data, adhering to Meta's high standards for data protection and privacy.
• Enhance ranking algorithms for fairness, personalization, and Small and Medium-sized Businesses (SMBs) empowerment, using econometric theory, machine learning methods, and data analysis to optimize algorithmic performance.
• Conduct research and experimentation to identify areas for improvement and develop innovative solutions to complex problems.
• Design and conduct experiments to analyze advertiser user behavior, identifying key business needs and decision-making patterns using causal inference, machine learning, and econometric techniques.
• Contribute to knowledge development by presenting findings and sharing insights with internal stakeholders and the broader academic community.
• Apply advanced data analysis and machine learning techniques to large datasets, extracting insights and developing predictive models that inform business decisions and drive growth.
• Utilize LLMs, natural language processing (NLP), and computer vision to analyze and generate content, optimizing advertising campaigns and improving user engagement.
• Design and develop recommendation systems that leverage Generative AI, machine learning, and collaborative filtering to provide personalized advertising experiences for users.
• Integrate GenAI-powered recommendation systems with existing advertising platforms, ensuring seamless user experiences and optimal performance.
• Continuously evaluate and refine recommendation systems to ensure they meet evolving user needs and preferences.
• Collaborate with cross-functional teams, including product management, design, and engineering, to ensure the successful development and deployment of Generative AI-powered tools and systems.
• Communicate complex technical concepts and research findings to non-technical stakeholders, providing clear and actionable insights that inform business decisions.